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The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage X (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price ) (in thousands of dollars) at which the Cadet was sold used. With the aim of predicting the used seling price from the number of miles driven, we might examine the least-squares regression line, ] = 42.21-0.51x . This line is shown in the scatter plot in Figure 1. 21.7 23.3 13.5 37.9 21.8 22.5 26.2 30.6 26.2 31.6 20.2 29.5 25.9 34.2 28.0 28.4 2312 26.7 21.3 24.4 26.7 Figure 1 20.7 30.B Using the above information, answer the following: 1. Fill in the blank: For thisa data, mileages that are greater than the mean of the mileages Wind to be paired with wood selling prices that the mian of the wood selling prices. greater than 2. According In the regression equation, for an increase of one thousand met in Carded mileage, then i a corresponding decrease of | | | how many thousand dollars in the wind selling prisat 3. What mas the observed used selling price (in thousands of dollars] when the mileage was 28.1 thousand mike? 4. From the regression equation, what is the predicted used salling price fin thousands of dollars) whan the mileage is 28.1 thousand "miles? (Hound your answer to at least dia demal place. ] 0